Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions.

Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.

Through telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

We will consider flexible working arrangements for any of our roles and also offer work place accommodations to ensure you have what you need to effectively deliver in your role.

Overall Role Purpose

The WPS Data Analyst role sits within the Workplace Solutions Data, Analytics & Insight function and supports the delivery of high quality, analytical data products that enable effective management of M&G’s Workplace portfolio and services. Focusing on the goal of enabling data-based decision making across the department.

The role contributes directly to the delivery of the WPS Data and AI strategies, translating strategic direction into practical, scalable data, analytics and AI enabled solutions. The role operates at the intersection of change and delivery - advancing new ways of working, platforms and insight capabilities, while ensuring that existing data products continue to operate reliably, with appropriate quality, governance and control.
The role works laterally across the whole team, with senior leadership, other WPS Data Analysts, Technology and functional stakeholders to ensure workplace insight is trusted, well governed and actively used to inform decision making.
Success in the role will be demonstrated through the adoption of data that measurably improve decision quality, efficiency and outcomes across Workplace Solutions.

Key Accountabilities

1. Delivery of WPS Data and AI Strategies

*Support the implementation of the WPS Data and AI strategies through the design and delivery of analytical products, use cases and data-driven solutions
*Translate strategic objectives into tangible insight, automation and AI enabled capabilities that improve decision quality, efficiency and outcomes
*Identify opportunities to apply analytics, automation and AI to Workplace data to create capacity and improve performance

2. Insight, Analytics and Decision Support
*Design, build and maintain data products that provide clear, decision ready insight for operational and senior stakeholders
*Develop repeatable analytical outputs supporting portfolio optimisation, service performance, utilisation and cost management
*Contribute to the ongoing development of KPIs, measures and performance frameworks across Workplace Solutions
*Ensure insight outputs are well structured, clearly communicated and aligned to decision needs
*Drive evidence-based decision making across Workplace Solutions by supporting requirements gathering, user training and adoption through the development and co-creation of data and insight products

3. Enterprise Data Platforms and Engineering
*Support the migration and optimisation of Workplace data onto centralised, enterprise grade data platforms
*Work in partnership with Technology and system owners to improve data pipelines, models, integrations and backend data structures
*Own analytical delivery from data ingestion and transformation through to modelling, insight generation and consumption

4. Automation and AI Enabled Solutions
*Design and deliver automation and AI ready solutions that improve speed, consistency and scalability of reporting and analysis
*Support experimentation and iteration of new analytical and AI ready capabilities, ensuring appropriate controls are applied
*Industrialise new solutions so they can be sustained as part of standard operations

5. Operational Stability, Governance and Quality
*Ensure existing Workplace data products, dashboards and reporting operate accurately, reliably and on time
*Maintain appropriate documentation, data ownership, controls and auditability across analytical products
*Monitor data quality and resolve issues in collaboration with Technology and system owners
*Apply a disciplined approach to quality and control as new capabilities transition into BAU operation

6. Collaboration and Capability Development
*Work closely with other WPS Data Analysts to ensure consistent standards, tooling and analytical approaches
*Collaborate with colleagues across Workplace Solutions, Finance, HR and Technology to embed data and AI led ways of working
*Support capability uplift across WPS through effective use of dashboards, insight and analytical products
*Contribute positively to the development of a strong, credible and collaborative analytics community

Skills, Knowledge and Experience

Essential
*Experience working in a data, analytics or insight role within a large, complex organisation in a cross functional capacity
*Strong hands-on capability across different roles that include data analysis, data engineering and analytical product delivery
*Strong experience with TSQL, Pyspark or similar capabilities for data extraction, transformation, data modelling and analysis
*Strong experience using Microsoft Power Platform: Power BI, Power Query, Power Apps, Power Automate and Databricks
*Experience in delivering new ideas and processes, using technical expertise to make progress towards departmental delivery
*Experience delivering change through data, analytics or AI, alongside maintaining operational reliability
*Ability to translate complex data and analytical concepts into clear, decision ready insight for nontechnical stakeholders
*Strong attention to detail with a disciplined approach to data quality, governance and control

Desirable
*Experience supporting or delivering data and AI strategies
*Experience working with enterprise data platforms and modern data architectures
*Familiarity with workplace, property, facilities management or corporate operations data
*Experience using APIs to extract and model data
*Experience in app development

Behavioural Capabilities
Outcome focused and comfortab